1. Intrusion Detection in Homogeneous and
Heterogeneous Wireless Sensor Networks
1. Abstract:
Intrusion detection in Wireless Sensor Network (WSN) is of
practical interest in many applications such as detecting an intruder in a battlefield. The
intrusion detection is defined as a mechanism for a WSN to detect the existence of
inappropriate, incorrect, or anomalous moving attackers. In this paper, we consider this
issue according to heterogeneous WSN models. Furthermore, we consider two sensing
detection models: single-sensing detection and multiple-sensing detection... Our
simulation results show the advantage of multiple sensor heterogeneous WSNs.
2. Introduction:
A Wireless Sensor Network (WSN) is a collection of spatially deployed wireless sensors
by which to monitor various changes of environmental conditions (e.g., forest fire, air
pollutant concentration, and object moving) in a collaborative manner without relying on
any underlying infrastructure support .Recently, a number of research efforts have been
made to develop sensor hardware and network architectures in order to effectively deploy
WSNs for a variety of applications. Due to a wide diversity of WSN application
requirements, however, a general-purpose WSN design cannot fulfill the needs of all
applications. Many network parameters such as sensing range, transmission range, and
node density have to be carefully considered at the network design stage, according to
specific applications. To achieve this, it is critical to capture the impacts of network
parameters on network performance with respect to application specifications. Intrusion
detection (i.e., object tracking) in a WSN can be regarded as a monitoring system for
detecting the intruder that is invading the network domain.
The intrusion detection application concerns how fast the intruder can be detected by
the WSN. If sensors are deployed with a high density so that the union of all sensing

2. ranges covers the entire network area, the intruder can be immediately detected once it
approaches the network area. However, such a high-density deployment policy increases
the network investment and may be even unaffordable for a large area. In fact, it is not
necessary to deploy so many sensors to cover the entire WSN area in many applications,
since a network with small and scattered void areas will also be able to detect a moving
intruder within a certain intrusion distance. In this case, the application can specify a
required intrusion distance within which the intruder should be detected. As shown in
Fig. 1, the intrusion distance is referred as D and defined as the distance between the
points the intruder enters the WSN, and the point the intruder is detected by the WSN
system. This distance is of central interest to a WSN used for intrusion detection. In this
paper, we derive the expected intrusion distance and evaluate the detection probability in
different application scenarios.. For example, given an expected detection distance EðDÞ,
we can derive the node density with respect to sensors’ sensing range, thereby knowing
the total number of sensors required for WSN deployment.
In a WSN, there are two ways to detect an object (i.e., an intruder): single-sensing
detection and multiple-sensing detection. In the single-sensing detection, the intruder can
be successfully detected by a single sensor. On the contrary, in the multiple-sensing
detection, the intruder can only be detected by multiple collaborating sensors .In some
applications, the sensed information provided by a single sensor might be inadequate for
recognizing the intruder. It is because individual sensors can only sense a portion of the
intruder. For example, the location of an intruder can only be determined from at least
three sensors’ sensing.
In view of this, we analyze the intrusion detection problem under two application
scenarios: single-sensing detection and multiple-sensing detection. According to the
capability of sensors, we consider two network types: homogeneous and heterogeneous
WSNs We define the sensor capability in terms of the sensing range and the transmission
range. In a heterogeneousWSN some sensors have a larger sensing range and more power
to achieve a longer transmission range. In this paper, we show that the heterogeneous
WSN increases the detection probability for a given intrusion detection distance. This
motivates us to analyze the network connectivity in this paper. Furthermore, in a

3. heterogeneous WSN, high capability sensors usually undertake more important tasks (i.e.,
broadcasting power management information or synchronization information to all the
sensors in the network),it is also desirable to define and examine the broadcast
reachability from high-capability sensors. The network connectivity and broadcast
reachability are important conditions to ensure the detection probability in WSNs. They
are formally defined and analyzed in this paper. To the best of our knowledge, our effect
is the first to address this issue in a heterogeneous WSN.
3. Literature Survey
5.3.1Intrusion detection
An Intrusion detection system (IDS) is software and/or hardware designed to
detect unwanted attempts at accessing, manipulating, and/or disabling of computer
mainly through a network, such as the Internet. These attempts may take the form of
attacks, as examples, by crackers,, malwarer and/or disgruntled employees. IDS cannot
directly detect attacks within properly encrypted traffic.
An intrusion detection system is used to detect several types of malicious
behaviors that can compromise the security and trust of a computer system. This includes
network attacks against vulnerable services, data driven attacks on applications, host
based attacks such as privilege escalation, unauthorized logins and access to sensitive
files, and viruses
IDS can be composed of several components: Sensors which generate security
events, a Console to monitor events and alerts and control the sensors, and a central
Engine that records events logged by the sensors in a database and uses a system of rules
to generate alerts from security events received. There are several ways to categorize an
IDS depending on the type and location of the sensors and the methodology used by the
engine to generate alerts. In many simple IDS implementations all three components are
combined in a single device or appliance.

4. 5.3.2. Wireless Sensor Network (WSN).
A wireless sensor network (WSN) is a wireless network consisting of spatially
distributed autonomous devices using sensors to cooperatively monitor physical or
environmental conditions, such as temperature, sound, vibration, pressure, motion or
pollutants, at different locations The development of wireless sensor networks was
originally motivated by military applications such as battlefield surveillance. However,
wireless sensor networks are now used in many civilian application areas, including
environment and habitat monitoring, healthcare applications, home automation, and
traffic control
In addition to one or more sensors, each node in a sensor network is typically
equipped with a radio transceiver or other wireless communications device, a small
microcontroller, and an energy source, usually a battery. The envisaged size of a single
sensor node can vary from shoebox-sized nodes down to devices the size of grain of dust
although functioning 'motes' of genuine microscopic dimensions have yet to be created.
The cost of sensor nodes is similarly variable, ranging from hundreds of dollars to a few
cents, depending on the size of the sensor network and the complexity required of
individual sensor nodes. Size and cost constraints on sensor nodes result in corresponding
constraints on resources such as energy, memory, computational speed and bandwidth.
A sensor network normally constitutes a wireless ad-hoc network, meaning that each
sensor supports a multi-hop routing algorithm (several nodes may forward data packets to
the base station).
5.4. System Analysis

5. 5.4.1. Existing System:
1
single-sensing detection, the intruder can be successfully detected by a single
sensor
2
Previous work was according to homogeneous single sensor in wireless sensor
network
3
It is because individual sensors can only sense a portion of the intruder.
5.4.2. Proposed System:
1 Intrusion detection in heterogeneous WSNs by characterizing intrusion detection with
respect to the network parameters
2 Two detection models are:
 Single-sensing detection
 Multiple-sensing detection models
These are two detection models
1
We are detecting the intruder both single sensor and multiple sensor
heterogeneous wireless sensor network.
5.4.3. Disadvantage:
1
The sensed information provided by a
single sensor might be inadequate for
recognizing the intruder.
2
So that there is no guarantee for our information has been sent securely.
5.4.5. Advantage:

6. 1
Through sensing the network we able to find possible node in the wireless Sensor
network.
2
By finding the intruders we can send our information in a secured manner.
6. System Requirements:
6.1. Hardware:
PROCESSOR
: PENTIUM IV 2.6 GHz
RAM
: 512 MB DD RAM
MONITOR
: 15” COLOR
HARD DISK
: 20 GB
CDDRIVE
: LG 52X
KEYBOARD
: STANDARD 102 KEYS
MOUSE
: 3 BUTTONS
6.2. Software:
FRONT END
: Java
TOOL USED
: JFrameBuilder
OPERATING SYSTEM : Window’s Xp

7. Modules:
1
Constructing Sensor Network
2
Packet Creation
3
Find authorized and un authorized port
4
Constructing Inter-Domain Packet Filters
5
Receiving the valid packet
7.3. Modules Descriptions:
Module-1:
In this module, we are going to connect the network .Each node is connected the
neighboring node and it is independently deployed in network area. And also deploy the
each port no is authorized in a node.
Module-2:
In this module, browse and select the source file. And selected data is converted
into fixed size of packets. And the packet is send from source to detector.
Module-3:
The intrusion detection is defined as a mechanism for a WSN to detect the
existence of inappropriate, incorrect, or anomalous moving attackers. In this module
check whether the path is authorized or unauthorized. If path is authorized the packet is
send to valid destination. Otherwise the packet will be deleted. According port no only
we are going to find the path is authorized or Unauthorized.
Module-4:
If the packet is received from other than the port no it will be filtered
and
discarded. This filter only removes the unauthorized packets and authorized packets send
to destination.
Module-5:

8. In this module, after filtering the invalid packets all the valid
reach the destination.
Packets will